76 to 100 of 5,268 SQL Jobs in the UK

tools such as Postman or Swagger to observe behaviour of APIs Technical awareness and experience of a service architected platform Process analysis, data mapping and data analytical skills using SQL, Excel and Power BI Proficiency in designing and implementing data models Strong understanding of BI concepts and tools Must have experience with client-facing applications and digital transformation Experience with More ❯

solution is to adopt modern DevOps processes. What does it take to be a Data Engineer? Previous experience in data engineering ideally using Databricks, Azure Data Factory, Spark, Python, SQL, Cosmos DB, Microsoft Azure Analysis services, PowerBI Experience in delivering end to end BI solution from requirements, design to delivery Experience of working within an Agile/Scrum environment Experience More ❯

and initiatives. Mentor junior data analysts and promote data literacy across the organization. Champion the adoption of data-driven decision-making and best practices throughout Freetrade. About you Strong SQL proficiency for data extraction, manipulation, and analysis. Expertise in data visualization tools (e.g., Tableau, Power BI) and creating compelling dashboards and reports. Proven ability to connect KPIs and analysis to More ❯

or equivalent practical experience). Professional experience as a Full Stack Software Engineer, with a strong emphasis on Java (Java 11/17). Experience with relational databases (e.g., SQL, PostgreSQL, MySQL) and ORM frameworks (e.g., Hibernate, JPA). Solid understanding of front-end technologies such as HTML, CSS, JavaScript, and modern JavaScript frameworks (e.g., ReactJS, MobX and TypeScript). More ❯

or equivalent practical experience). Professional experience as a Full Stack Software Engineer, with a strong emphasis on Java (Java 11/17). Experience with relational databases (e.g., SQL, PostgreSQL, MySQL) and ORM frameworks (e.g., Hibernate, JPA). Solid understanding of front-end technologies such as HTML, CSS, JavaScript, and modern JavaScript frameworks (e.g., ReactJS, MobX and TypeScript). More ❯

CD - Github Actions/Jenkins Business Intelligence - Looker Skills & Attributes We'd Like To See: Extensive experience in data engineering, including designing and maintaining robust data pipelines. Proficient in SQL and relational databases; familiarity with modern data warehousing solutions such as Snowflake is preferred. Proficient in programming, capable of developing and maintaining tested, production-ready data solutions, preferably in Python. More ❯

quality and accuracy to build a robust foundation that unlocks various ML use cases. Qualifications: 5+ years of experience in analytics engineering, data engineering, or a related field. Advanced SQL skills and experience architecting solutions on modern data warehouses (e.g., Snowflake, BigQuery, Redshift). Hands-on experience with advanced modelling techniques in dbt. A deep understanding of ETL/ELT More ❯

Our Client, working closely with the NHS requires a skilled SQL DBA to join the team on a permanent basis. The role is fully remote and previous NHS experience is desirable. The role is primarily as a SQL DBA, but there is an element of providing 2nd and 3rd line support, dealing with client queries, running data checks, making sure … or equivalent in a software engineering/DB discipline and/or Professional qualifications appropriate to DB engineering roles. Experience of large transactional databases (100GB+) Excellent knowledge of the SQL Database Engine Excellent performance tuning skills (experience of Query Tuning, Indexing, Locking etc). Excellent communication skills - both to a technical and non-technical audience. Experience in engaging at a … commercial level with customers both technical and nontechnical. Experience of database release/upgrades with product releases Extensive experience of working with Microsoft SQL Server 2005/2008/2012/2014 Strong T-SQL Experience (creating/administrating stored procedures, scripts, functions, triggers and other objects) Experience in the manipulation, transformation, and exploration of large multi-dimensional datasets. Experience More ❯

Joining the out-of-core hours support rota. What are we looking for? What essential skills do I need? Understanding of ERP systems and their role in business operations. SQL and relational database knowledge. Excellent teamwork and communication skills. Desirable Skills: Experience with Microsoft Dynamics NAV and/or Dynamics 365 Business Central. Familiarity with source control tools (e.g., Git More ❯

of the domain and mentoring less experienced analysts. Extensive experience in an analytical role dealing with large volumes of data. Excellent experience working with databases and excellent knowledge of SQL (BigQuery would be an asset) to create complex queries and analyses. Strong experience with product optimization or growth work i.e. product A/B testing, funnel/website optimization, conversion More ❯

engineering, with at least 2 years in a leadership or senior technical role. Proven experience in energy trading environments, particularly Natural Gas and Power markets. Expert in Python and SQL; strong experience with data engineering libraries (e.g., Pandas, PySpark, Dask). Deep knowledge of ETL/ELT frameworks and orchestration tools (e.g., Airflow, Azure Data Factory, Dagster). Proficient in More ❯

in data ingestion, transformation, and management, with a proven ability to design scalable and efficient data solutions. You're confident working with Big Data technologies and tools such as SQL, Microsoft Fabric, and Azure Data Factory (ADF), and you know how to turn complex data challenges into streamlined, reliable systems. You will excel in data warehouse modelling, especially with Kimball More ❯

measurement frameworks, and quantitative validation methods Strong communicator who can translate complex technical concepts and influence decisions Analytical problem-solver who transforms ambiguous challenges into structured, data-informed solutions SQL proficiency for analysing user behaviours and conversion funnels Statistical knowledge (hypothesis testing, regression) for measuring improvements Visualisation tool expertise (Tableau, Power BI, Looker) for effective data storytelling Experience with digital More ❯

below. • Strong proficiency in Python • Extensive experience with cloud platforms (AWS, GCP, or Azure) • Experience with: o Data warehousing and lake architectures o ETL/ELT pipeline development o SQL and NoSQL databases o Distributed computing frameworks (Spark, Kinesis etc) o Software development best practices including CI/CD, TDD and version control. o Containerisation tools like Docker or Kubernetes More ❯

reporting logic. What We're Looking For: Bachelor's degree in data Analytics, Computer Science, Statistics, or a related field. Strong analytical and problem-solving skills. Good Database and SQL skills Experience with data visualization tools (e.g., Power BI, Tableau, Looker). Basic understanding of data modelling and ETL concepts. Good communication and documentation skills. If you're interested, please More ❯

reporting logic. What We're Looking For: Bachelor's degree in data Analytics, Computer Science, Statistics, or a related field. Strong analytical and problem-solving skills. Good Database and SQL skills Experience with data visualization tools (e.g., Power BI, Tableau, Looker). Basic understanding of data modelling and ETL concepts. Good communication and documentation skills. If you're interested, please More ❯

machine learning models and advanced analytics Monitor and troubleshoot data workflows and performance issues Requirements: Proven experience with Azure Data Services (Data Factory, Databricks, Synapse) Strong knowledge of Python, SQL, and Spark Experience with data modelling, ETL/ELT processes, and pipeline orchestration Familiarity with CI/CD and DevOps practices in a data engineering context Excellent communication and stakeholder More ❯

machine learning models and advanced analytics Monitor and troubleshoot data workflows and performance issues Requirements: Proven experience with Azure Data Services (Data Factory, Databricks, Synapse) Strong knowledge of Python, SQL, and Spark Experience with data modelling, ETL/ELT processes, and pipeline orchestration Familiarity with CI/CD and DevOps practices in a data engineering context Excellent communication and stakeholder More ❯

machine learning models and advanced analytics Monitor and troubleshoot data workflows and performance issues Requirements: Proven experience with Azure Data Services (Data Factory, Databricks, Synapse) Strong knowledge of Python, SQL, and Spark Experience with data modelling, ETL/ELT processes, and pipeline orchestration Familiarity with CI/CD and DevOps practices in a data engineering context Excellent communication and stakeholder More ❯

Microsoft. As well as good understanding of data architecture. To the level that you are able to engage with technical staff and data architectures or experts. Good knowledge of SQL, ETL technologies and data modelling. Knowledge of programming languages useful for data analytics such as Python Good knowledge of the Azure cloud data platform and the potential to use its More ❯

to ensure the best fit for purpose Experience Needed Essential: Strong background in C# .NET and/or Java Experience with Git, CI/CD tools, and database technologies (SQL/NoSQL) Excellent problem-solving and communication skills Secure coding and API architecture knowledge Desirable: Web development experience (React, TypeScript, JavaScript) Familiarity with AWS, containerisation, microservices, and serverless architecture Exposure More ❯

data science, Statistics, Computer Science, Economics, or a related field. 5+ years of experience in data analysis, business intelligence, or related roles. Proficiency in HubSpot CRM. Strong proficiency in SQL, Excel, and data visualization tools (e.g., Tableau, Power BI, Looker). Experience with statistical analysis tools (e.g., Python, R) and data manipulation techniques. Excellent analytical, problem-solving, and critical thinking More ❯

and performance Provide technical support to users of PowerBI Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field 5+ years of experience in Data Engineering Strong SQL expertise Knowledge of data design and database design principles Experience in Report building Proficiency in PowerBI Strong understanding of data warehousing and business intelligence Excellent communication and teamwork skills Benefits More ❯

with evolving trends in data engineering and BI. What They’re Looking For Technical Experience 7+ years’ experience across data engineering, analytics, or data science. 5+ years of strong SQL/data modelling experience. Expertise building ETL/ELT pipelines across cloud-based platforms. Advanced Power BI skills and a deep understanding of scalable architecture. Familiarity with CRM/ERP More ❯

with evolving trends in data engineering and BI. What They’re Looking For Technical Experience 7+ years’ experience across data engineering, analytics, or data science. 5+ years of strong SQL/data modelling experience. Expertise building ETL/ELT pipelines across cloud-based platforms. Advanced Power BI skills and a deep understanding of scalable architecture. Familiarity with CRM/ERP More ❯